Borrowing it
Nothing to install: this file belongs to luizanunciostoca/toca-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/luizanunciostoca/toca-mcp-server/main/.github/prompts/backlog-reconcile.prompt.mdgit clone --depth 1 https://github.com/luizanunciostoca/toca-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/luizanunciostoca/toca-mcp-server/backlog-reconcile)<a href="https://agentmods.dev/commands/luizanunciostoca/toca-mcp-server/backlog-reconcile"><img src="https://agentmods.dev/badge/commands/luizanunciostoca/toca-mcp-server/backlog-reconcile/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/luizanunciostoca/toca-mcp-server/backlog-reconcile"><img src="https://agentmods.dev/badge/commands/luizanunciostoca/toca-mcp-server/backlog-reconcile.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00078 |
| Opus 5 | $0.00000 | $0.00039 |
| Sonnet 5 | $0.00000 | $0.00016 |
| Haiku 4.5 | $0.00000 | $0.00008 |
Grade A, and why
backlog-reconcile scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 6 lines · 0 tokens per session scan A cae632cb760b
backlog-reconcile is a command published in the GitHub repository luizanunciostoca/toca-mcp-server (0 stars, last pushed yesterday), with no licence file. It costs nothing until one of its globs matches a file; then it loads 78 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-07.
Other commands, from other repositories
land
Cadence-tick autonomous PR babysitter (CI-fix, resolve, converge, merge, close, release).
sync
Synchronizes your local swarm state with the latest GitHub repository state, updating task statuses and detecting changes.
claim
Claims a GitHub issue for your swarm to work on, preventing conflicts with other swarms.
repo-architect
Repository structure optimization and multi-repo management with ruv-swarm coordination for scalable project architecture and development workflows.
weekly-summary
Generate weekly work summary from git activity.
next
Suggest the most likely next workflow action based on current context.